Satisfaction Based Channel Allocation Scheme for Self-Organization in Heterogeneous Networks

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Title: Satisfaction Based Channel Allocation Scheme for Self-Organization in Heterogeneous Networks
Authors: Arani, Atefeh HajijamaliMehbodniya, AbolfazlOmidi, Mohammad JavadFlanagan, Mark F.
Permanent link: http://hdl.handle.net/10197/11135
Date: 13-Dec-2018
Online since: 2019-10-09T16:22:19Z
Abstract: The next-generation wireless networks are expected to become denser and more heterogeneous in order to boost the network capacity. However, densely deployed base stations (BSs) in heterogeneous networks (HetNets) can give rise to interference. On the other hand, a limited number of channels is allocated within the HetNets. Therefore, the efficient assignment of channels among BSs is considered to be an important issue. Furthermore, the density and heterogeneity of the networks motivate self-organizing resource management techniques. In this paper, we address the problem of channel allocation in HetNets, and propose a satisfaction based channel allocation algorithm. The problem is modeled as a game in satisfaction form, in which BSs act as the players with the constraint given by the loads at the BSs. The objective is to meet the data rate requirements of user equipments. In this regard, the BSs aim at seeking a satisfaction solution rather than the optimal one. In order to learn the satisfaction equilibrium, a fully distributed algorithm based on the individual utility is applied. Simulation results show that the proposed approach can increase the average BS's throughput compared to the benchmark algorithms.
Funding Details: European Commission Horizon 2020
European Commission - European Regional Development Fund
Science Foundation Ireland
metadata.dc.description.othersponsorship: Trinity College Dublin (TCD)
Type of material: Conference Publication
Publisher: IEEE
Copyright (published version): 2018 IEEE
Keywords: Heterogeneous networksGame theorySatisfaction algorithmChannel allocation
DOI: 10.1109/GLOCOM.2018.8647834
Language: en
Status of Item: Peer reviewed
Is part of: 2018 IEEE Global Communications Conference (GLOBECOM), Abu Dhabi, United Arab Emirates, 9-13 December 2018 Proceedings
Conference Details: The 2018 IEEE Global Communications Conference (GLOBECOM), Abu Dhabi, United Arab Emirates, 9-13 December 2018
ISBN: 9781538647271
Appears in Collections:Electrical and Electronic Engineering Research Collection

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This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.